Medical application of video-based intelligent action recognition(PDF)
《中国医学物理学杂志》[ISSN:1005-202X/CN:44-1351/R]
- Issue:
- 2024年第1期
- Page:
- 1-7
- Research Field:
- 医学影像物理
- Publishing date:
Info
- Title:
- Medical application of video-based intelligent action recognition
- Author(s):
- HUANG Xinrui1; HUANG Hesong2; HUANG Yuchuan2; CHEN Meining2; FAN Xinyue2; YI Ming3
- 1. Department of Biochemistry and Biophysics, School of Basic Medical Sciences, Peking University, Beijing 100191, China 2. School of Basic Medical Sciences, Peking University, Beijing 100191, China 3. Institute of Neuroscience, Peking University, Beijing 100191, China
- Keywords:
- Keywords: action recognition computer vision feature representation machine learning deep learning review
- PACS:
- R318
- DOI:
- DOI:10.3969/j.issn.1005-202X.2024.01.001
- Abstract:
- Abstract: Video-based intelligent action recognition remains challenging in the field of computer vision. The review analyzes the state-of-the-art methods of video-based intelligent action recognition, including machine learning methods with handcrafted features, deep learning methods with automatically extracted features, and multi-information fusion methods. In addition, the important medical applications and limitations of these technologies in the past decade are introduced, and the interdisciplinary views on the future application to improve human health are also shared.
Last Update: 2024-01-23